Triple
T28992477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Penn Charter School |
E736061
|
entity |
| Predicate | coeducationSince |
P86983
|
FINISHED |
| Object | 19th century |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 19th century | Statement: [William Penn Charter School, coeducationSince, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coeducationSince Context triple: [William Penn Charter School, coeducationSince, 19th century]
-
A.
hasCoeducation
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
coEducation
Indicates that an educational institution or program provides instruction to students of different genders together rather than separately.
-
C.
successorInstitutionCoeducational
Indicates that the successor institution operates on a coeducational basis, admitting and educating students of more than one gender.
-
D.
transitionedToCoed
chosen
Indicates that an institution or group changed its status from single-gender to coeducational, allowing participation by all genders.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7dfa3481909a6775b0cef703b3 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:27 a.m.